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xss-cross-detection
Advanced tools
This package facilitates the filtration of input text susceptible to server-side exploitation. It encompasses a model trained on a dataset comprising approximately 6,000 XSS-attack scripts to categorize the input into two predefined classes: vulnerable an
This package helps to filter the input text that is vulnerable and intended to attack the server.It contains model that is trained on a dataset of around 6k XSS-attack scripts to classify the input into 2 pre-defined labels i.e vulnerable and immune and this package has the ability to deal with different types of input like JSON Objects, string array, singular string, Object Array that could be helpful to filter vulnerable data present in database.
npm install --save xss-cross-detection
const attackDetection = require('xss-cross-detection');
const xss_detect = new attackDetection.xssAttackDetection();
console.log(xss_detect.detect('<script onload="alert()"></script>'));
// Expected Output
{ gist: 'vulnerable', confidenceFactor: 99.99999997227279 },
// To Deal with array as input we have different method named as classifyBatch.
console.log(xss_detect.classifyBatch(['<script onload="alert()"></script>', 'Hello, how are you'], null, null));
// Expected Output
[
{ gist: 'vulnerable', confidenceFactor: 99.99999997227279 },
{ gist: 'immune', confidenceFactor: 99.98769997227279 },
]
var testingDocs = [
{
"input": "<script draggable=\"true\" ondragstart=\"alert(1)\">test</script>",
"anotherField":'lets go ',
"k":1
},
{
"input": "Go until script jurong point, crazy.. Available only in bugis n great world la e buffet... Cine there got amore wat...",
"anotherField":'Hello how are you',
"k": 2
},
];
console.log(xss_detect.classifyBatch(testingDocs, "k")); // k is primary key
//expected Outlet
[
{
input: { gist: 'vulnerable', confidenceFactor: 99.99999999285946 },
anotherField: { gist: 'immune', confidenceFactor: 98.41886759120219 },
primaryKey: 2
},
{
input: { gist: 'immune', confidenceFactor: 99.99999999834742 },
anotherField: { gist: 'immune', confidenceFactor: 91.66666666666666 },
primaryKey: 6
}
]
S.no | Name | Type | How it Works |
---|---|---|---|
1 | primary key | String | this will help in adding new key to result which can uniquely identify the document in array.It can be passed as second argument in classifyBatch function |
2 | Fields to Check | Array | this will help is saving time by avoiding brute force checking to only specific fields checking. it can be passed as third argument in classifyBatch function |
S.no | Name | Contact Info |
---|---|---|
1 | Kundan Kumar | kundansingh023230@gmail.com |
ISC
FAQs
This package facilitates the filtration of input text susceptible to server-side exploitation. It encompasses a model trained on a dataset comprising approximately 6,000 XSS-attack scripts to categorize the input into two predefined classes: vulnerable an
The npm package xss-cross-detection receives a total of 0 weekly downloads. As such, xss-cross-detection popularity was classified as not popular.
We found that xss-cross-detection demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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